Blended Learning Model with IoT-based by Smartphone

Authors

DOI:

https://doi.org/10.3991/ijim.v15i11.22441

Keywords:

Blended Learning, IoT-based Technology, Graduate Students, Smartphone, Mobile application.

Abstract


In 2021, the COVID-19 pandemic is still not over. Thailand is the one that is facing the second wave of new coronavirus. Schools and universities were closed, and faculties need to mostly teach with Online pedagogy, including the graduate students' courses. This study proposes to focus on the Ubiquitous area of the Blended Learning model with IoT-based to solve a problem of graduate students and their advisors by the qualitative focus-group technique. The mobile application draft was synthesized and designed to track and monitor graduate students' research activities on smartphones by built-in sensors. They should stay active along while researching the advisor’s assignments on their smartphone. Non-active periods are implied when several behaviors are detected. Virtualize dashboards are processed to report the total active learning period of students for the advisor's evaluation.

Moreover, students can continually monitor their self-efficacy to improve the online learning process. Besides, this study proposes to confirm the model’s quality by twelve experts with the questionnaire. The results show average scores of Propriety, Utility, Feasibility, and Accuracy standard are 4.32, 4.41, 4.37, and 4.21, respectively. Therefore, the Blended Learning model's overall qualities with IoT-based smartphones are extremely high and proper to implement.

Author Biographies

Kobchai Siripongdee, Industrial Educational of Technology Faculty, Kingmongkut Institute of Technology Ladkrabang. Thailand

Kobchai SIRIPONGDEE is a doctoral student of Educational Technology Program,
Faculty of Industrial Education and Technology, King Mongkut’s Institute of
Technology Ladkrabang (KMITL), Thailand. His research focuses on blended learning,
IoT-based technology and educational technologies. Affiliation: Faculty of Industrial
Education and Technology, King Mongkut’s Institute of Technology Ladkrabang
(KMITL), Thailand. Corresponding Author E-mail: 57603256@kmitl.ac.th ORCID
0000-0001-7745-8309 Scopus ID: - WoS ID:

Somkiat Tuntiwongwanich, Department of Industrial Education, Faculty of Industrial Education and Technology, King Mongkut’s Institute of Technology Ladkrabang (KMITL)

He serves as an Assistance Professor of curriculum and instruction at Faculty of Industrial Education and Technology and Deputy Director of Central Library at the King Mongkut’s Institute of Technology Ladkrabang (KMITL), Thailand. His research focuses on teacher education, educational innovation, and professional development.

Paitoon Pimdee, Department of Industrial Education, Faculty of Industrial Education and Technology, King Mongkut’s Institute of Technology Ladkrabang (KMITL)

He serves as an Associate Professor with the Faculty of Industrial Education and Technology and Vice President of Procurement at the King Mongkut's Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand. He is also the head of his faculty’s Ph.D. program. He graduated with a B.Sc. in Chemistry, B.E. in Economics and a M.Sc. in science education. He also holds a Ph.D. in environmental education and specializes in environmental behaviors, conservation behaviors, educational research, and statistics.

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Published

2021-06-04

How to Cite

Siripongdee, K., Tuntiwongwanich, S., & Pimdee, P. (2021). Blended Learning Model with IoT-based by Smartphone. International Journal of Interactive Mobile Technologies (iJIM), 15(11), pp. 166–182. https://doi.org/10.3991/ijim.v15i11.22441

Issue

Vol. 15 No. 11 (2021)

Section

Papers